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Image Segmentation using Gradient-based Histogram Thresholding for Skin Lesion Delineation

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dc.contributor.authorPereira, Pedro
dc.contributor.authorTavora, Luis M. N.
dc.contributor.authorFonseca-Pinto, Rui
dc.contributor.authorPaiva, Rui
dc.contributor.authorAssunção, Pedro
dc.contributor.authorFaria, Sérgio
dc.date.accessioned2026-09-10T13:18:32Z
dc.date.available2026-09-10T13:18:32Z
dc.date.issued2019
dc.description.abstractImage segmentation is a key stage in medical image processing algorithms and machine learning classifiers where identification of discriminative features are of utmost importance. In the case of skin lesions, most of the existing image segmentation approaches aim at minimising some error metric between computed and ground truth regions of interest (ROI) defined by medical experts, where ROI delineation is not always considered. This paper proposes an image segmentation method for skin lesion delineation, which expands traditional histogram and clustering-based approaches to achieve the best trade-off between both. The proposed method is capable of providing accurate details of the skin lesion borders, without deviating from the coarser borders of the available ground-truth.eng
dc.identifier.citationPereira, P. M. M., Pereira, P. A. A., Tavora, L. M. N., Fonseca-Pinto, R. P., Paiva, R. P., Assuncao, P. M. M., Assuncao, P. A. A. and M. de Faria, S. M. (2019). Image Segmentation using Gradient-based Histogram Thresholding for Skin Lesion Delineation. In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - BIOIMAGING; ISBN 978-989-758-353-7; ISSN 2184-4305, SciTePress, pages 84-91. DOI: 10.5220/0007354100840091
dc.identifier.doi10.5220/0007354100840091
dc.identifier.isbn978-989-758-353-7
dc.identifier.issn2184-4305
dc.identifier.urihttp://hdl.handle.net/10400.8/16850
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSCITEPRESS - Science and Technology Publications
dc.relation.hasversionhttps://www.scitepress.org/Link.aspx?doi=10.5220/0007354100840091
dc.relation.ispartofProceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectSegmentation
dc.subjectSkin Lesion Detection
dc.subjectMedical Imaging
dc.subjectDermoscopy
dc.titleImage Segmentation using Gradient-based Histogram Thresholding for Skin Lesion Delineationeng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.endPage91
oaire.citation.startPage84
oaire.citation.titleProceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - (Volume 2)
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNamede Oliveira Pegado de Noronha E Távora
person.familyNameFonseca-Pinto
person.familyNameAssunção
person.familyNameFaria
person.givenNameLuís Miguel
person.givenNameRui
person.givenNamePedro
person.givenNameSergio
person.identifier.ciencia-id121C-FADA-D750
person.identifier.ciencia-id681D-C547-B184
person.identifier.ciencia-id6811-3984-C17B
person.identifier.ciencia-id8815-4101-28DD
person.identifier.orcid0000-0002-8580-1979
person.identifier.orcid0000-0001-6774-5363
person.identifier.orcid0000-0001-9539-8311
person.identifier.orcid0000-0002-0993-9124
person.identifier.ridK-9449-2014
person.identifier.ridA-4827-2017
person.identifier.ridC-5245-2011
person.identifier.scopus-author-id26039086400
person.identifier.scopus-author-id6701838347
person.identifier.scopus-author-id14027853900
relation.isAuthorOfPublication71940f24-f333-4ab6-abf6-00c7119a07c2
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relation.isAuthorOfPublication25649bb9-f135-48e8-8d0f-3706b86701d3
relation.isAuthorOfPublicationf69bd4d6-a6ef-4d20-8148-575478909661
relation.isAuthorOfPublication.latestForDiscovery71940f24-f333-4ab6-abf6-00c7119a07c2

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